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virtual void | Trigger (DataQueue data) override |
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virtual void | Trigger () override |
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virtual void | Trigger ()=0 |
| trigger one work load of the workflow with preload input and output settings.
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virtual void | Trigger (DataQueue data)=0 |
| trigger one work load of the workflow with input data. More...
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| OptimalFrameFinder (GlobalMapObject::Ptr GlobalMap) |
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virtual bool | clear () override |
| clear the workflow state, the workflow should be re-init after clear. More...
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bool | save (JsonNode &fs) override |
| save data and settings to file More...
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bool | load (JsonNode &fs) override |
| load data and settings from file More...
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virtual bool | Compute (FrameObject::Ptr frame) |
| compute the best frame with the preload settings and preload related frames. More...
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virtual bool | Compute (FrameObject::Ptr frame, std::vector< FrameObject::Ptr > &RelatedFrame) |
| This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.. More...
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| WorkFlowObject () |
| Construct a new Work Flow Object object.
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virtual | ~WorkFlowObject () |
| Destroy the Work Flow Object object.
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virtual bool | clear ()=0 |
| clear the workflow state, the workflow should be re-init after clear. More...
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virtual bool | isInit () |
| check if the workflow is inited More...
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| MVSObject () |
| Construct a new MVSObject object.
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virtual | ~MVSObject () |
| Destroy the MVSObject object.
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virtual bool | save (JsonNode &fs)=0 |
| save data and settings to file More...
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virtual bool | load (JsonNode &fs)=0 |
| load data and settings from file More...
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virtual std::string | type_name () |
| get the typename. More...
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GlobalMapObject::Ptr | GlobalMap |
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bool | m_isInit = false |
| default indicator of wether the workflow is initialized, the workflow may or may not use this variable to indicate if its initialized, it depends on the implementation of isInit() method.
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void | Finished (DataQueue) |
| the current work load of the workflow is finished, and the processeed data pointer is stored in the queue, the workflow can be assigned to new work load with trigger() method More...
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void | Finished () |
| the current work load of the workflow is finished, the workflow can be assigned to new work load with trigger() method
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void | Failed () |
| the current work failed.
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void | Error (std::string error) |
| emit error message More...
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void | Progress (int progress) |
| emit percentage of the work load 0-100 More...
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void | Warning (std::string warning) |
| emit warning output message More...
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void | Info (std::string info) |
| emit information output message More...
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bool | isDirExist (std::string path) |
| check if the directory is exist. More...
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bool | mkdir (std::string path) |
| create directory in given path. More...
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◆ clear()
bool OptimalFrameFinder::clear |
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overridevirtual |
clear the workflow state, the workflow should be re-init after clear.
- Returns
- true clear succeed
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false clear failed
Implements WorkFlowObject.
◆ Compute() [1/2]
bool OptimalFrameFinder::Compute |
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FrameObject::Ptr |
frame | ) |
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virtual |
compute the best frame with the preload settings and preload related frames.
- Parameters
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frame | the frame to find the best frame pair. |
- Returns
- true compute success
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false failed to find best frame, may because input error such as no preloaded related frame, or all related frames are not met the algorithm requirements.
◆ Compute() [2/2]
bool OptimalFrameFinder::Compute |
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FrameObject::Ptr |
frame, |
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std::vector< FrameObject::Ptr > & |
RelatedFrame |
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virtual |
This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts..
- Parameters
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frame | the frame to find best frame. |
RelatedFrame | the candidate frame, one of the frame in this frame vector will be the best frame if compute success. |
- Returns
◆ load()
bool OptimalFrameFinder::load |
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JsonNode & |
fs | ) |
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overridevirtual |
load data and settings from file
this method will load data such as keypoints, descriptors, translation matrices in DataFlowObject and its sub-classes from the given JsonNode instance. or will load parameters and settings in WorkFlowObject and its sub-classes to the given JsonNode instance, and automatically initialize the WorkFlow with these parameters
- Parameters
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- Returns
- true load successfully
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false load failed or initialization falied.
Implements MVSObject.
◆ save()
bool OptimalFrameFinder::save |
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JsonNode & |
fs | ) |
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overridevirtual |
save data and settings to file
this method will save data such as keypoints, descriptors, translation matrices in DataFlowObject and its sub-classes to the given JsonNode instance, or will save parameters and settings in WorkFlowObject and its sub-classes to the given JsonNode instance.
- Parameters
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- Returns
- true save successfully
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false save failed
Implements MVSObject.
◆ Trigger
void OptimalFrameFinder::Trigger |
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overridevirtualslot |
- Warning
- this method shold NOT be called since this algorithm can NOT process empty input data.
The documentation for this class was generated from the following files:
- C:/Users/ZhouZishun/Documents/Workspace/EasyMVS/core/DenseReconstruction/OptimalFrameFinder.h
- C:/Users/ZhouZishun/Documents/Workspace/EasyMVS/core/DenseReconstruction/OptimalFrameFinder.cpp